Canada
Embedded software professional, experienced in autonomous mobile robots and on-device AI.
- Worked on software/firmware-based CPU power optimizations for multimedia use cases. - Analyzed various camera features for power/performance optimizations on the next generation premium-tier Snapdragon SoCs.
TA for Embedded systems software engineering (18642) by Dr. Phil Koopman
Ported an edge detection imaging algorithm for optimal performance (under power and memory constraints) on Qualcomm's Hexagon DSP - embedded within the Snapdragon 8 Gen 1 SoC. Worked for the Multimedia Competitive Analysis (R&D) team.
Accomplished a patent grant following the successful Invention Disclosure on "Autonomous Robot system for anomaly management" (EP4047435A1 European Patent Office: https://patents.google.com/patent/EP4047435A1/en) Continued developments on embedded and autonomy software for mobile robots
Performed my undergraduate thesis research at the "Research in Digitalization and Automation (RDA)" unit of Siemens Technology and Services. Development highlights: • Designed and developed both – embedded and autonomy software stacks for an Nvidia Jetson-based mobile-robot using Robot Operating System (ROS) and Isaac SDK. Interfaced Jetson Nano with Intel Realsense D435 and T265 cameras. • Achieved real-time performance of V-SLAM ROS packages on the Jetson Nano by tuning parameters from realsense-ros. • Developed a Stereo-Visual-Inertial Odometry (SVIO) application for the custom robot - adapted from Nvidia Kaya’s SVIO. • Developed an accurate obstacle avoidance application for a Jetson Nano + Realsense D435 system using ‘pyrealsense’ • Developed a multi-camera person re-identification and 3D tracking system using RM-Net, accelerated on Intel NCS2 with OpenVINO. Incorporated ‘depth’ to improve tracking accuracy with Intel RealsenseD435. Inventions: • Co-authored a patent application following the successful invention disclosure on “Auditory-Visual-analytics based autonomous robot system for multi-purpose anomaly detection and localization” • Co-authored an Invention disclosure on computer-vision based food-waste management system using smartphones. - Represented Siemens at SAMHAR-Covid hackathon and won "Excellent Implementable Idea" (Top-3 teams in India)
Official representative of the School of Electrical Engineering (SELECT), VIT-Vellore